Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model

Sebastian Wołkowicz, et al. "Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model." Mathematica Applicanda 47.2 (2019): null. <http://eudml.org/doc/295480>.

@article{SebastianWołkowicz2019,
abstract = {The paper presents a novel approach to the prediction of the combined therapy outcome for non-small lung cancer patients. A hybrid model is proposed, consisting of two parts. The first one is a mathematical model of tumor response to therapy, whose parameters are expressed as linear function of data from massspectrometry of patient blood plasma samples. These linear functions constitute thesecond component of the hybrid model. A comparison of clinical and simulation-based survival curves is used to evaluate the quality of the model.},
author = {Sebastian Wołkowicz, Krzysztof Fujarewicz, Monika Kurpas, Krzysztof Łakomiec, Jarosław Śmieja, Rafal Suwiński, Andrzej Świerniak},
journal = {Mathematica Applicanda},
keywords = {therapy response prediction, lung cancer, survival analysis, combined therapy},
language = {eng},
number = {2},
pages = {null},
title = {Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model},
url = {http://eudml.org/doc/295480},
volume = {47},
year = {2019},
}

TY - JOUR
AU - Sebastian Wołkowicz
AU - Krzysztof Fujarewicz
AU - Monika Kurpas
AU - Krzysztof Łakomiec
AU - Jarosław Śmieja
AU - Rafal Suwiński
AU - Andrzej Świerniak
TI - Prediction of lung cancer patients’ response to combined chemo-radiotherapy using a personalized hybrid model
JO - Mathematica Applicanda
PY - 2019
VL - 47
IS - 2
SP - null
AB - The paper presents a novel approach to the prediction of the combined therapy outcome for non-small lung cancer patients. A hybrid model is proposed, consisting of two parts. The first one is a mathematical model of tumor response to therapy, whose parameters are expressed as linear function of data from massspectrometry of patient blood plasma samples. These linear functions constitute thesecond component of the hybrid model. A comparison of clinical and simulation-based survival curves is used to evaluate the quality of the model.
LA - eng
KW - therapy response prediction, lung cancer, survival analysis, combined therapy
UR - http://eudml.org/doc/295480
ER -